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Death Rates Table

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Death Rate Report for South Dakota by County

All Cancer Sites, 2011-2015

White (includes Hispanic), Both Sexes, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 161.4?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
South Dakota Yes 157.9 (154.3, 161.6) 1,539 falling falling trend -1.4 (-1.7, -1.0)
United States No 163.8 (163.6, 164.0) 499,171 falling falling trend -1.4 (-1.5, -1.4)
Dewey County No 239.0 (151.2, 371.3) 5
*
*
Bennett County No 225.2 (144.9, 350.8) 5
*
*
McCook County No 209.1 (165.6, 261.8) 18 stable stable trend 0.4 (-1.0, 1.9)
Perkins County No 201.8 (147.9, 273.4) 10 stable stable trend 1.4 (-0.8, 3.6)
Hanson County No 201.5 (133.7, 290.7) 6 stable stable trend 0.4 (-1.4, 2.2)
Roberts County No 184.7 (148.6, 229.0) 21 stable stable trend -0.7 (-1.9, 0.5)
Butte County No 177.7 (147.0, 213.7) 25 stable stable trend -0.5 (-2.2, 1.2)
Stanley County No 177.5 (117.8, 258.9) 6 falling falling trend -2.0 (-3.8, -0.1)
Minnehaha County No 177.4 (168.5, 186.8) 309 falling falling trend -0.8 (-1.2, -0.4)
Douglas County No 177.4 (124.0, 249.9) 10 stable stable trend -0.4 (-2.4, 1.5)
Kingsbury County No 176.7 (136.9, 226.5) 15 stable stable trend -0.5 (-1.7, 0.8)
Haakon County No 175.2 (108.1, 274.7) 5 stable stable trend -0.8 (-3.4, 1.8)
Fall River County No 175.1 (142.3, 216.0) 22 stable stable trend -0.8 (-1.8, 0.2)
Beadle County No 174.3 (151.0, 200.7) 43 falling falling trend -0.9 (-1.8, -0.1)
Walworth County No 173.7 (135.1, 223.0) 16 stable stable trend -1.4 (-2.9, 0.2)
Jerauld County No 173.4 (115.1, 258.4) 7 stable stable trend 0.7 (-1.2, 2.6)
Sanborn County No 172.9 (114.9, 254.0) 6 stable stable trend -1.1 (-3.2, 0.9)
Codington County No 171.2 (151.8, 192.5) 59 falling falling trend -0.8 (-1.4, -0.2)
Faulk County No 169.9 (116.4, 245.4) 7 stable stable trend -1.3 (-3.4, 0.8)
Turner County No 168.9 (136.9, 207.0) 21 stable stable trend 5.1 (-2.3, 12.9)
Hughes County No 167.2 (141.9, 196.0) 33 stable stable trend -0.1 (-1.1, 0.9)
Brookings County No 165.9 (144.9, 189.2) 46 stable stable trend -0.3 (-1.0, 0.5)
Brule County No 165.5 (125.0, 216.9) 12 stable stable trend -0.6 (-2.2, 0.9)
Clay County No 163.9 (132.3, 201.0) 20 stable stable trend -1.0 (-2.3, 0.3)
Lawrence County No 162.0 (143.0, 183.1) 55 falling falling trend -0.8 (-1.6, -0.1)
Brown County Yes 160.4 (144.2, 178.0) 77 falling falling trend -1.0 (-1.7, -0.2)
Gregory County Yes 159.3 (118.7, 212.9) 12 stable stable trend -0.2 (-1.4, 1.0)
Clark County Yes 156.3 (115.0, 211.2) 10 stable stable trend -0.5 (-2.3, 1.4)
Davison County Yes 156.2 (135.1, 179.9) 44 stable stable trend -1.0 (-2.0, 0.0)
Miner County Yes 155.9 (100.6, 235.5) 6 stable stable trend -0.3 (-2.2, 1.6)
Sully County Yes 155.1 (90.0, 260.2) 3 stable stable trend -2.0 (-4.9, 0.9)
Pennington County Yes 154.4 (144.3, 165.1) 182 falling falling trend -1.3 (-1.8, -0.8)
Meade County Yes 151.7 (131.3, 174.4) 42 falling falling trend -1.3 (-2.3, -0.2)
Lyman County Yes 151.1 (100.9, 224.3) 6 stable stable trend -1.6 (-3.9, 0.9)
Aurora County Yes 150.8 (101.9, 219.2) 6 stable stable trend -0.9 (-2.8, 1.0)
Corson County Yes 149.5 (83.6, 259.0) 3 stable stable trend -0.5 (-3.1, 2.2)
Grant County Yes 145.8 (115.2, 183.5) 16 stable stable trend -0.8 (-1.8, 0.3)
Charles Mix County Yes 142.7 (112.8, 180.3) 17 stable stable trend -0.9 (-2.6, 0.8)
Potter County Yes 141.6 (98.2, 207.5) 8 stable stable trend -0.9 (-2.9, 1.1)
Yankton County Yes 141.4 (122.7, 162.5) 43 stable stable trend -0.9 (-1.7, 0.0)
Marshall County Yes 141.3 (104.1, 190.3) 10 stable stable trend -0.4 (-1.8, 1.1)
Spink County Yes 141.2 (109.6, 180.7) 15 falling falling trend -1.6 (-2.9, -0.2)
Moody County Yes 141.0 (105.8, 185.9) 11 stable stable trend 0.3 (-1.0, 1.7)
Hand County Yes 140.1 (98.4, 197.6) 9 stable stable trend -1.4 (-2.9, 0.1)
Hamlin County Yes 139.7 (104.7, 183.7) 12 stable stable trend -1.0 (-2.1, 0.1)
Union County Yes 138.5 (114.8, 166.1) 25 falling falling trend -1.5 (-2.5, -0.5)
McPherson County Yes 137.2 (94.1, 201.8) 7 stable stable trend -1.3 (-3.4, 0.8)
Lake County Yes 136.2 (112.1, 164.7) 24 falling falling trend -1.2 (-2.3, -0.1)
Tripp County Yes 135.6 (101.4, 180.7) 12 stable stable trend -1.3 (-2.9, 0.4)
Edmunds County Yes 134.7 (98.2, 183.5) 10 falling falling trend -2.1 (-3.9, -0.4)
Custer County Yes 134.7 (108.0, 168.0) 19 stable stable trend -1.2 (-2.3, 0.0)
Hutchinson County Yes 132.7 (103.6, 168.9) 18 falling falling trend -1.7 (-3.2, -0.2)
Bon Homme County Yes 131.8 (101.5, 169.9) 14 stable stable trend -0.6 (-2.1, 0.9)
Jackson County Yes 130.1 (74.8, 223.3) 3 falling falling trend -2.9 (-5.2, -0.6)
Day County Yes 125.5 (95.7, 165.2) 13 falling falling trend -1.8 (-3.1, -0.5)
Lincoln County Yes 124.6 (109.4, 141.3) 52 falling falling trend -5.1 (-7.6, -2.6)
Campbell County Yes 111.2 (63.2, 205.2) 3 stable stable trend -1.8 (-3.9, 0.4)
Deuel County Yes 110.4 (78.5, 153.8) 8 falling falling trend -2.5 (-3.8, -1.2)
Buffalo County ***
*
3 or fewer
*
*
Harding County ***
*
3 or fewer
*
*
Hyde County ***
*
3 or fewer
*
*
Jones County ***
*
3 or fewer
*
*
Mellette County ***
*
3 or fewer
*
*
Shannon County ***
*
3 or fewer
*
*
Todd County ***
*
3 or fewer
*
*
Ziebach County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 03/22/2019 8:03 am.

South Dakota County Name Change: please note that Shannon County, SD (FIPS code=46113) was renamed effective May 1, 2015, Shannon County was renamed Oglala Lakota County (FIPS Code=46102) (effective May 1, 2015). Due to the nature of data submissions, we will use the older code/name this year and transition to the new code/name with our next data release in 2018.

State Cancer Registries may provide more current or more local data.
Trend
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.

† Death rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for mortality data.
The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).


Please note that the data comes from different sources. Due to different years of data availablility, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

Interpret Rankings provides insight into interpreting cancer incidence statistics. When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate.

Data for United States does not include Puerto Rico.

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